Job Description

Job Title - Senior Consultant - Data Engineer.Career Level - D2Leverage technology to impact patients and ultimately save livesDo you have expertise in, and passion for, information technology? Would you like to apply your expertise to impact the IT strategy in a company that follows the science and turns ideas into life changing medicines? If so, AstraZeneca might be the one for you!ABOUT ASTRAZENECAAstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the world\xe2\x80\x99s most serious disease. But we\xe2\x80\x99re more than one of the world\xe2\x80\x99s leading pharmaceutical companies. At AstraZeneca we\xe2\x80\x99re dedicated to being a Great Place to Work.ABOUT OUR IT TEAMIt\xe2\x80\x99s a dynamic and results-oriented environment to work in \xe2\x80\x93 but that\xe2\x80\x99s why we like it. There are countless opportunities to learn and grow, whether that\xe2\x80\x99s exploring new technologies in hackathons, or redefining the roles and work of colleagues, forever. Shape your own path, with support all the way. Diverse minds that work cross- functionally and broadly together.We are seeking a highly skilled and experienced professional to join our team as a Data Engineer. In this role, you will be responsible for design, develop, and delivery of software products or solutions that involve data, ETL, data warehouse, data analytics, data visualization, sourcing data from multiple warehouses and MDM.Engineering activities include the production of scalable, robust, optimised, quality-assured code for the extraction, transformation, ingestion, curation, and publishing components using AstraZeneca standard delivery technologies. This includes provisioning data for traditional reporting and analytics, data science, digital, and operational business use cases using pre-defined AstraZeneca design patterns.They work collaboratively with data architects, data analysts, data scientists, AI engineers, software engineers and business stakeholders in Agile bizdevops scrums to build, test and run data and analytics applications. They are responsible for the continuous optimisation of Data Engineering processes (DataOps) driving automation of CI/CD processes and adoption of low-code/no-code solutions.Responsibilities:As a full stack engineer you would be working on development of both front end and back-end modules of applications deployed in a cloud environmentYou should have implemented systems that work with medium to large data warehouse.Implementation knowledge in various aspects of data modelling, data extraction / loading, replication, concurrency, and data migration strategiesProven expertise as developer in large enterprise platforms that involve multitude of integrations, security and handling large data volumes.Work closely with stakeholders to define or validate product requirements, design, establish timelines, develop, test and implementHave keen interest and inclination to understand the domain and business and expand into high ownership level of solutioning and delivery rather than working at transactional levelUnderstand the process and workflows and adhere to strict quality standards set by AstraZenecaEnsure application stability, uptime, understand metrics that matter and focus to add business value through continuous culture of upskilling and innovationRequirements:8+ years of development experience in an enterprise environmentRelevant experience in Lifesciences industry is an added advantageExperience in RDBMS & NoSQL Databases like PostgreSQL, MongoDBExperience in scripting especially pythonExpertise in BI tools and visualizationsExperience of working with a range of data analytics architectures. These may include: traditional warehousing, distributed computing, visualization analyticsExperience with & knowledge of Python, particularly in conjunction with serverless technology such as AWS Lambda and AWS GlueExpertise on Java 8+ and knowledge in building UIFamiliar with using version control (branching, merging etc), ideally GitExperience and familiarity with data models and artefactsInterpret data, process data, analyse results and provide ongoing support of productionized applicationsAgile Methodology \xe2\x80\x93 Knowledge on Story pointing, Acceptance Criteria , Sprint/Iteration Planning, Program Increment Planning etc.Proficiency in cloud-based architectures, preferably in popular cloud platforms (Azure, AWS).Proficiency in software design and architecture, ideally with experience dealing with large datasets.Deep expertise in data security and privacy best practices.Excellent knowledge of clean code concepts, design patterns. Test driven (TDD) and behavioural driven development (BDD)Proficiency in designing and implementing scalable, distributed, and high-performance systems.WHY JOIN US?We\xe2\x80\x99re a network of high-reaching self-starters who contribute to something far bigger. We enable AstraZeneca to perform at its peak by delivering premier technology and data solutions.We\xe2\x80\x99re not afraid to take ownership and run with it. Empowered with unrivalled freedom. Put simply, it\xe2\x80\x99s because we make a significant impact. Everything we do matters.SO, WHAT\xe2\x80\x99S NEXT?Are you already envisioning yourself joining our team? Good, because we\xe2\x80\x99d love to hear from you! Click the link to apply and we\xe2\x80\x99ll be in touch as soon as we can.WHERE CAN I FIND OUT MORE?Our Social Media, Follow AstraZeneca on LinkedInWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability statusDate Posted 24-May-2024Closing Date 27-May-2024AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

AstraZeneca